WO2016042652A1

WO2016042652A1 - Wind-powered power generation facility and degree-of-damage diagnosis device for wind-powered power generation facility

Info

Publication number: WO2016042652A1
Application number: PCT/JP2014/074800
Authority: WO
Inventors: 崇佐伯; 今朝明峰村
Original assignee: 株式会社日立製作所
Priority date: 2014-09-19
Filing date: 2014-09-19
Publication date: 2016-03-24

Abstract

Provided is a wind-powered power generation facility in which by estimating the wind speed at individual locations on a wind turbine on the basis of a wind speed meter and other sensor information, degree-of-damage diagnosis can be performed at each location without providing sensors any more than necessary. The wind-powered power generation facility includes a rotor comprising a hub and a plurality of blades, and receives wind with the rotor to thereby convert the wind to electrical energy, wherein the following are provided: a wind speed meter that is disposed at a prescribed location in the wind-powered power generation facility; a plurality of sensors that are disposed at a plurality of locations that constitute the wind-powered power generation facility, and that detect the operation state of the wind-powered power generation facility; and an individual-location wind speed calculation device that calculates the wind speed at each location that constitutes the wind-powered power generation facility on the basis of the wind speed values measured by the wind speed meter and detection data detected by the plurality of sensors. The wind-powered power generation facility is characterized in that the individual-location wind speed calculation device calculates the wind speed at individual locations of the wind-powered power generation facility by using a individual-location wind speed calculation table that includes operation state data of the wind-powered power generation facility and location data of the wind-powered power generation facility.

Description

Wind power generation equipment and damage diagnosis device for wind power generation equipment

The present invention relates to wind power generation equipment, and more particularly to structural strength diagnosis of wind power generation equipment.

As a background art of this technical field, Patent Document 1 discloses that in a wind turbine of a wind turbine generator, a wind speed turbulence degree is calculated by dividing a standard deviation of wind speed fluctuation detected by an anemometer by an average wind speed, and the wind speed turbulence degree is a turbulence threshold value. An operation control method for stopping the operation of the windmill for a predetermined period when it is determined as described above is disclosed.

Further, Patent Document 2 discloses a blade pitch of a wind turbine of a wind power generator using predetermined parameters that affect the load variation of the blade, such as measured values of wind speed, temperature, and atmospheric pressure, and output of the wind power generator. A method for controlling the angle is disclosed.

Japanese Patent No. 396645 JP 2005-83308 A

In the structural strength of the machine, there is a large gap between the test data in the design and the actual measurement data at the customer site, and damage has occurred earlier than expected. As a cause of this, it is conceivable that the actual wind condition is largely different from the wind condition mainly assumed by the wind speed and direction, which was assumed at the time of design.

In addition to a design that can withstand a temporary maximum load such as a typhoon, a wind turbine load design requires a fatigue design that can withstand load fluctuations acting on blades and towers during normal operation. In general, load fluctuations vary in response to the price of wind fluctuations, so wind conditions are an important parameter in fatigue design. In particular, it can be easily imagined that the wind conditions greatly differ between the upper part and the lower part of the wind turbine as the wind turbine becomes larger in recent years.

When measuring the structural strength of a windmill, it is necessary to install a large number of sensors in each windmill. However, there are problems with the cost of the sensor and securing the installation location, so it is difficult to measure the wind turbine at multiple points.

Here, according to Patent Document 1, an anemometer is provided, the wind turbulence intensity is calculated based on the wind speed, and the windmill operation is stopped based on the turbulence intensity. The wind load can be calculated from the wind turbulence intensity measured by the anemometer, and the damage degree of the windmill can be calculated.

However, in this method, the damage degree of the entire wind turbine is estimated only by the wind speed at the installation position of the anemometer. In recent wind turbines, the wind speed varies depending on the site, so it is difficult to accurately estimate the degree of damage at sites other than the site where the anemometer is installed. Further, when the wind speed is measured for each part, a large number of anemometers are installed, and the cost including sensor installation and maintenance becomes enormous.

In Patent Document 2, the blade pitch angle is controlled using predetermined parameters that affect the load fluctuation of the blade, such as measured values of wind speed, temperature, and pressure in the wind turbine, and the output of the wind turbine generator. The degree of damage to the windmill can be calculated from predetermined parameters that affect each load variation.

However, in this method, as in Patent Document 1, the wind load is calculated from the wind speed at the installation position of the anemometer. Therefore, it is difficult to accurately estimate the degree of damage at a site other than the anemometer installation site. Further, when the wind speed is measured for each part, a large number of anemometers are installed, and the cost including sensor installation and maintenance becomes enormous.

Accordingly, an object of the present invention is to provide a wind power generation facility capable of diagnosing the degree of damage of each part without providing sensors more than necessary by estimating the wind speed for each part of the windmill from the anemometer and other sensor information. It is to provide.

Another object of the present invention is to estimate the wind speed for each part of the wind turbine from the anemometer and other sensor information, and to make a wind power generation capable of diagnosing the damage level of each part without providing more sensors than necessary. The object is to provide an equipment damage diagnosis apparatus.

In order to solve the above-described problems, the present invention provides a wind turbine generator having a rotor composed of a hub and a plurality of blades, which receives wind at the rotor and converts it into electrical energy, An anemometer provided at a predetermined position of the wind power generation facility, a plurality of sensors provided at a plurality of parts constituting the wind power generation facility, and detecting an operating state of the wind power generation facility, and measured by the anemometer A wind speed calculation device for each part that calculates a wind speed in each part of the wind power generation facility based on a wind speed value and detection data detected by the plurality of sensors, and the wind speed calculation device for each part includes the wind power generation Calculating the wind speed for each part of the wind power generation facility using the wind speed calculation table for each part including the operation status data of the facility and the part data of the wind power generation facility To.

Further, the present invention is a damage diagnosis apparatus for wind power generation equipment having a hub and a rotor composed of a plurality of blades, which receives wind from the rotor and converts it into electric energy, and the wind power generation equipment includes the wind power An anemometer provided at a predetermined position of the power generation facility, a plurality of sensors provided at a plurality of parts constituting the wind power generation facility and detecting an operating state of the wind power generation facility, and an wind speed measured by the anemometer Based on the value and the detection data detected by the plurality of sensors, the wind speed calculation device for each part that calculates the wind speed in each part constituting the wind power generation facility, and the wind speed data for each part calculated by the wind speed calculation device for each part Based on the turbulence intensity calculation part for calculating the turbulent flow intensity for each part based on the turbulence intensity for each part calculated by the turbulence intensity calculation part, the part for calculating the damage degree for each part A separate damage degree calculation unit, and the wind speed calculation device for each part uses the wind speed calculation table for each part of the wind power generation equipment using the wind speed calculation table for each part including the operation status data of the wind power generation equipment and the part data of the wind power generation equipment. A wind speed for each part is calculated, and a damage degree for each part is calculated based on the calculated wind speed for each part.

According to the present invention, by estimating the wind speed for each part of the windmill from the sensor data and the control data for detecting the wind speed from the anemometer and the driving situation in the windmill, for each part of the windmill without adding a sensor. The degree of fatigue damage can be calculated.

In addition, by taking into consideration the degree of damage of each part of the windmill, it is possible to provide an optimal O & M service (Operation-and-Maintenance) such as performing a restraint operation in order to have the damaged part until the next maintenance. .

Also, by estimating the wind speed for each part of the windmill from the anemometer and other sensor information, the increase in cost due to the addition of the sensor can be suppressed, and the problem of securing the installation location can be solved.

Issues, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

It is a block diagram which shows the outline | summary of the wind speed calculation system according to the site | part of the windmill in one Embodiment of this invention. It is a figure which shows the example of the wind speed calculation table according to site | part of the wind speed calculation system according to site | part of the windmill in one Embodiment of this invention. It is a flowchart which shows the example of the wind speed calculation method according to the site | part of the windmill in one Embodiment of this invention. It is a schematic block diagram of the wind speed calculation system according to site | part of the windmill in one Embodiment of this invention. It is a block diagram which shows the outline | summary of the damage degree diagnostic system according to site | part of the windmill in one Embodiment of this invention. It is a block diagram which shows the outline | summary of the damage degree diagnostic system according to site | part of the windmill in one Embodiment of this invention.

Embodiments of the present invention will be described with reference to the drawings. In each drawing and each embodiment, the same or similar components are denoted by the same reference numerals, and the description thereof is omitted.

FIG. 1 is a block diagram showing an outline of a wind speed calculation system for each part of a wind turbine according to an embodiment of the present invention.

A windmill 100 shown in FIG. 1 is installed at a specific part of a windmill, for example, and a plurality of sensor data that are measured values from a plurality of sensors 10 that measure driving conditions installed in a windmill for which a wind speed for each part is to be calculated. The input wind speed value, which is the output value from the anemometer 20, is input, and the site-specific wind speed calculation table 30 for calculating the wind speed at the corresponding site and the site-specific wind speed calculation table 30 are input. It has a part-specific wind speed display unit 40 for displaying the wind speed of the relevant part, and outputs a plurality of part-specific wind speeds S10.

The plurality of sensor data measured by the sensor 10 is data obtained by measuring the driving situation of the windmill, and is weather data around the windmill and control data for controlling the windmill.

Here, the wind turbine meteorological data includes, for example, wind direction, wind speed, temperature, humidity, rainfall, atmospheric pressure, weather, and the like. Further, the wind turbine control data is a control command value and an operation record value recorded in a supervisory control system (SCADA: Supervision-Control-And-Data-Acquisition) generally called SCADA. Command values such as corners, cut-in and cut-out, and acceleration and power generation amount of the main shaft, generator and gearbox, operation records such as during operation, standby, and stop.

The specific part in the anemometer 20 installed in the specific part of the windmill may be, for example, an anemometer installed in the upper part of the nacelle.

The part-specific wind speed calculation table 30 receives a plurality of sensor data 10 that measures the operating state of the windmill and a wind speed value that is an output value from the anemometer 20 installed in a specific part of the windmill, and calculates the wind speed at the relevant part. A sensor selection table for selecting related sensors and a part-specific wind speed calculation table for converting into a part-specific wind speed from a combination of sensors output from the sensor selection table are output, and a plurality of part-specific wind speeds S10 are output.

Here, the relevant part is a part of a part constituting the wind turbine such as a tower, a blade, a nacelle, and a hub. For example, the classification of tower base, tower middle, tower tip, blade base, blade middle or blade tip, etc. can be considered The sensor selection table selects the combination of the relevant part and the sensor related to the wind speed at the relevant part . As a selection method, a method of preparing a correspondence table in advance or a method of preparing a program for changing a sensor to be selected according to the wind speed at that time can be considered.

In addition, when the corresponding part is a nacelle, since the nacelle itself is generally close to an anemometer installed in a wind turbine, there is no need to use a sensor value other than the output value of the anemometer.

The part-specific wind speed conversion table receives the relevant part output from the sensor selection table and the sensor combination related to the wind speed of the relevant part, converts the wind speed of the relevant part with reference to the table, and outputs the wind speed for each part.

In addition, the wind speed conversion table for each part is obtained from the database of the wind observation mast at the time of the wind condition survey conducted before the wind turbine construction, the wind speed value for each height unit of the wind turbine, the sensor combination at that time, that is, the weather data, Multiple sets of control data are extracted, and statistical processing such as average values is performed on multiple data sets, for example, and a table in which wind speed values, weather data, and control data sets are shown as average values is prepared. A method to keep it is conceivable.

Here, a certain height unit is an installation interval of the anemometer measured by the wind observation mast, for example, every 10 m or every 50 m.

Alternatively, prepare a wind turbine simulator in advance, create a wind model from wind turbine design information and terrain information, and calculate the wind speed of the relevant part using all possible wind speed values and sensor values as input. In addition, a correspondence table of the wind speed value, the sensor value, and the wind speed value of the corresponding part is calculated.

A method is conceivable in which the wind speed value of the closest simulation result corresponding to the table is calculated using the wind speed value and sensor combination input to the wind speed conversion table for each part as keys.

FIG. 2 is a table showing an example of sensor selection in the site-specific wind speed calculation table 30 of FIG. Basically, since it has already been repeated, detailed description is omitted. As shown in FIG. 2, the vertical axis is a list of corresponding parts and the horizontal axis is a list of weather data and control data around the windmill. Are arranged, and sensors related to the wind speed of the corresponding part are indicated by ◯.

In this example, only the wind speed at the corresponding part and the presence / absence of the relation between the plurality of sensors are shown, but a method of expressing the degree of relation by quantification is also conceivable.

FIG. 3 is a flowchart showing an example of a wind speed calculation method for each part of the windmill. Basically, since the description has already been repeated, detailed description will be omitted. However, as shown in FIG. 3, when the calculation of the wind speed for each part is started, a plurality of sensor values D10 and wind speed values are detected in the sensor selection step F1. Using D20 as an input, a sensor combination related to the wind speed of the corresponding part is selected, sensor data D30 for wind speed calculation is output, and the process proceeds to the part-specific wind speed calculation step F2.

In the site-specific wind speed calculation step F2, the site-specific wind speed is calculated using the wind speed calculation sensor data D30 selected in the sensor selection step F1 as a key, and the process ends.

Note that FIG. 3 shows an example in which the wind speed calculation for each part is started by inputting the signal for starting the wind speed calculation for each part. However, the wind speed may be continuously calculated while the wind turbine is operating or stopped. Good. In other words, it is possible to adopt a part-specific wind speed calculation method in which the wind speed is continuously calculated and the wind speed is constantly monitored.

FIG. 4 is a schematic configuration diagram of a wind speed calculation system for each part of a wind turbine according to an embodiment of the present invention.

A windmill 200 shown in FIG. 4 includes, for example, a tower E10 or a blade E20 that is a part-specific wind speed calculation target device, a SCADA 50 that stores environmental data and control data of the windmill, and a wind speed installed at a specific part of the windmill. A part-specific wind speed calculation device 300 that selects a plurality of sensor data related to the corresponding part from the wind speed value measured from the meter, the wind turbine weather data, and the control data, and outputs the part-specific wind speed S10.

As shown in FIG. 4, the wind power generation facility described in the present embodiment is a horizontal axis type wind power generation in which a plurality of blades E20 are connected to a hub to form a rotor, and wind is received by the rotor and converted into electric energy. Equipment. The rotor is supported by tower E10.

The site-specific wind speed calculation device 300 has the same configuration as the site-specific wind speed calculation table 30 and the site-specific wind speed display unit 40 in the wind turbine 100 described in the above embodiments, and outputs the site-specific wind speed S10 of the tower E10 or the blade E20. To do.

The part-specific wind speed S10 is output in the form of a report, is output on a monitoring screen in a windmill monitoring building, or is stored in the SCADA 50, which is a data storage device as part of the environmental data of the windmill. Can be considered.

In FIG. 4, the wind speed calculation device 300 for each part is included in the windmill 200, but a configuration in which the windmill 200 is installed outside the windmill such as a monitoring tower of the windmill is also conceivable. Alternatively, a mode in which the part-specific wind speed calculation device 300 is incorporated in the SCADA 50 and is a function of the SCADA 50 is also conceivable.

FIG. 5 is a block diagram showing an outline of a wind turbine part damage degree diagnosis system using a wind turbine according to an embodiment of the present invention.

The wind turbine diagnosis apparatus 400 illustrated in FIG. 5 includes, for example, sensor data that is measurement values from a plurality of sensors 10 installed in a wind turbine for which a wind speed for each part is to be calculated, and measurement from an anemometer 20 installed in the wind turbine. A sensor selection unit that selects sensor data values related to the wind speed at the relevant part, that is, the part-specific wind speed calculation table 30 and the sensor data selected by the sensor selection part 30 as inputs, and the relevant part The wind speed calculation part 40 for calculating the wind speed of each part, the wind speed for each part are input, the turbulence intensity calculation part 60 for calculating the turbulent intensity for each part, and the turbulent intensity for each part are input, The damage level calculation part 70 according to site | part which calculates the damage level of this is output, and several damage level S20 according to site | parts is output.

The wind turbine diagnosis apparatus 400 has a configuration in which a turbulence intensity calculation unit 60 and a site-specific damage degree calculation unit 70 are added to the same configuration as the wind turbine 100 described in the above embodiments. Since the sensor 10, the anemometer 20, the sensor selection unit, that is, the site-specific wind speed calculation table 30 and the site-specific wind speed calculation unit 40 are repeated, the detailed description is omitted.

The turbulent flow intensity calculation unit 60 receives the wind speed for each part as input, and calculates the turbulent intensity for each part.

Here, the turbulence intensity is defined as a value obtained by dividing the standard deviation of the past time-series wind speed over a certain time width by the average of the time-series wind speed, and is known to strongly depend on the fatigue life of the wind turbine. The turbulence intensity calculation unit 60 calculates the turbulence intensity T by the following equation.

T = standard deviation based on time-series wind speed at a fixed time interval / average wind speed based on the time-series wind speed Here, the fixed time interval may be a 10-minute interval recorded in the SCADA 50 or another time interval.

The site-specific damage degree calculation unit 70 receives the site-specific turbulence intensity as an input, and calculates the site-specific damage level. Since the fluctuating load is proportional to the square of the wind speed in a certain wind speed range and depends on the turbulence intensity, the fluctuating load for each part, that is, the damage degree for each part, is calculated from the value of the wind speed for each part and the turbulent intensity for each part. Can be calculated.

FIG. 6 shows a modification of the site-specific damage degree diagnosis system shown in FIG. In FIG. 5, one wind speed calculation table 30 for each part, one turbulent flow strength calculation unit 60, and one part damage degree calculation unit 70 constituting the wind turbine diagnosis apparatus 400 are provided. 6 is configured to calculate the degree of damage for each part, whereas in the part-by-part damage diagnosis system in FIG. 6, the part-specific wind speed calculation table 30 for each part of the windmill is included in the wind turbine diagnosis apparatus 400. A flow intensity calculation unit 60 and a site-specific damage degree calculation unit 70 are provided.

In the site-specific damage degree diagnosis system of FIG. 5, sensor data that is measured values from a plurality of sensors 10 and wind speed values that are measured values from an anemometer 20 installed in the windmill can be processed collectively. Therefore, the cost of the wind turbine diagnostic device 400 can be reduced, but any one of the site-specific wind speed calculation table 30, the turbulent flow strength calculation unit 60, and the site-specific damage degree calculation unit 70 in the wind turbine diagnostic device 400 fails. In such a case, it becomes impossible to calculate the damage level of the entire wind turbine.

On the other hand, like the part-by-part damage diagnosis system in FIG. 6, the part-specific wind speed calculation table 30, the turbulent flow intensity calculation unit 60, and the part-by-part damage degree calculation unit 70 are provided for each part of the windmill in the wind turbine diagnosis apparatus 400. Although the cost of the wind turbine diagnosis device 400 is increased by providing, if any of the site-specific wind speed calculation table 30, the turbulent intensity calculation unit 60, or the site-specific damage degree calculation unit 70 in the wind turbine diagnosis device 400 fails Even so, since the damage degree calculation for the entire wind turbine excluding the failed part can be continued, the reliability as the part-by-part damage degree diagnosis system is improved.

In the part-by-part damage diagnosis system shown in FIG. 6, a part-specific wind speed calculation table 30, a turbulent flow intensity calculation unit 60, and a part-by-part damage degree calculation unit 70 are provided for each part of the windmill in the wind turbine diagnosis apparatus 400. However, if necessary, the site-specific wind speed calculation table 30, the turbulent flow strength calculation unit 60, and the site-specific damage degree calculation unit 70 may be configured to be shared for each site.

As described above, according to the site-specific damage degree diagnosis system of this embodiment, the validity of the load load assumed in each site at the time of design can be verified by calculating the site-specific damage level. In addition, since it is common to determine the structural strength by calculating only the load load at the maximum load part at the time of design, if the damage level for each part can be calculated, it is possible to find damage that was not assumed at the time of design There is. In other words, the degree of damage for each part can be fed back to the design.

In addition, by grasping the degree of damage for each part, it is necessary to carry out restraint operation until the next maintenance, or predict the time of failure, and consider the interval until the next maintenance work day, By changing the operation mode according to the degree of damage, such as operation that maximizes the amount of power generation until the maintenance work day, it is possible to provide an operation service that is optimal for customer needs.

On the other hand, it is possible to provide maintenance adjustment services such as ordering parts immediately and making the next inspection date ahead of schedule or reviewing the maintenance cycle in view of the progress of damage. Furthermore, the maintenance report of a windmill can be made by showing the damage degree according to the region to the customer, particularly the windmill owner. In addition, if parts need to be replaced, it will be evidence when requesting a cost burden.

In addition, this invention is not limited to the above-mentioned Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

In addition, each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, each of the above-described configurations and functions may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files for realizing each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid-State-Drive), or a recording medium such as an IC card, an SD card, or a DVD.

In addition, the control lines and information lines indicate what is considered necessary for the explanation, and not all control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

DESCRIPTION OF SYMBOLS 10 ... Sensor, 20 ... Anemometer, 30 ... Site-specific wind speed calculation table, 40 ... Site-specific wind speed display unit, 50 ... SCADA (monitoring control system), 60 ... Turbulence intensity calculation unit, 70 ... Site-specific damage degree calculation unit , 100 ... windmill, 200 ... windmill, 300 ... wind speed calculation device for each part, 400 ... diagnostic device for windmill, D10 ... sensor value, D20 ... wind speed value, D30 ... sensor data for wind speed calculation, E10 ... tower, E20 ... blade, F1 ... Sensor selection step, F2 ... Site-specific wind speed calculation step, S10 ... Site-specific wind speed, S20 ... Site-specific damage degree.

Claims

A wind power generation facility having a rotor composed of a hub and a plurality of blades, receiving wind from the rotor and converting it into electrical energy,
The wind power generation facility includes an anemometer provided at a predetermined position of the wind power generation facility,
A plurality of sensors that are provided in a plurality of parts constituting the wind power generation facility and detect the operating status of the wind power generation facility;
Based on the wind speed value measured by the anemometer and the detection data detected by the plurality of sensors, a part-specific wind speed calculation device that calculates the wind speed in each part constituting the wind power generation facility, and
The part-specific wind speed calculation device calculates the wind speed for each part of the wind power generation equipment using the part-specific wind speed calculation table including the operation status data of the wind power generation equipment and the part data of the wind power generation equipment. Wind power generation equipment.
The wind power generation facility according to claim 1, wherein the wind power generation facility includes a site-specific wind speed display unit that displays a site-specific wind speed.
The operation state data of the wind speed calculation table for each part uses control data of the wind power generation facility including at least the amount of power generation and weather data around the wind power generation facility. Wind power generation equipment.
The control data of the wind power generation equipment includes the pitch angle, yaw angle, cut-in command value, cut-out command value, spindle acceleration, generator acceleration, speed increaser acceleration, recording during operation, The wind power generation facility according to claim 3, wherein at least one data among the recording during standby and the recording during stop is used.
The wind power generation facility according to claim 3, wherein the weather data around the wind power generation facility uses at least one of wind direction, wind speed, temperature, humidity, rainfall, atmospheric pressure, and weather.
The part of the wind power generation facility that calculates the wind speed by the part-specific wind speed calculation device includes at least one of a tower base, a tower middle part, a tower tip part, a blade base part, a blade middle part, and a blade tip part. The wind power generation facility according to claim 1 or 2, characterized in that.
2. The wind power according to claim 1, wherein the wind speed data for each part calculated by the wind speed calculation device for each part is output in a report format or by display on a monitoring screen in a monitoring building of the wind power generation facility. Power generation equipment.
A damage diagnosis apparatus for wind power generation equipment having a hub and a rotor composed of a plurality of blades, which receives wind from the rotor and converts it into electrical energy,
The wind power generation facility includes an anemometer provided at a predetermined position of the wind power generation facility,
A plurality of sensors that are provided in a plurality of parts constituting the wind power generation facility and detect the operating status of the wind power generation facility;
Based on the wind speed value measured by the anemometer and the detection data detected by the plurality of sensors, the wind speed calculation device for each part that calculates the wind speed in each part constituting the wind power generation facility,
A turbulence intensity calculation unit that calculates turbulence intensity for each part based on the wind speed data for each part calculated by the wind speed calculation unit for each part;
A site-specific damage degree calculation unit that calculates a site-specific damage level based on the site-specific turbulence intensity calculated by the turbulence intensity calculation unit,
The part-specific wind speed calculation device calculates the wind speed for each part of the wind power generation equipment using the part-specific wind speed calculation table including the operation status data of the wind power generation equipment and the part data of the wind power generation equipment. A damage degree diagnosis apparatus for a wind power generation facility, wherein the damage degree for each part is calculated based on the wind speed for each part.
9. The wind power according to claim 8, wherein the turbulence intensity calculation unit calculates a turbulence intensity from a ratio of a standard deviation based on a time series wind speed at a constant time interval and an average wind speed based on the time series wind speed. Damage diagnosis device for power generation equipment.
The operation status data of the wind speed calculation table for each part uses control data of the wind power generation facility including at least power generation amount and weather data around the wind power generation facility. Damage diagnosis device for wind power generation equipment.
The control data of the wind power generation equipment includes the pitch angle, yaw angle, cut-in command value, cut-out command value, spindle acceleration, generator acceleration, speed increaser acceleration, recording during operation, 11. The damage diagnosis apparatus for wind power generation equipment according to claim 10, wherein at least one or more data is used among a record during standby and a record during stop.
11. The wind power generation facility according to claim 10, wherein at least one of the wind direction, wind speed, temperature, humidity, rainfall, atmospheric pressure, and weather is used as weather data around the wind power generation facility. Damage diagnosis device.
The site of the wind power generation facility that calculates the damage level by the site-specific damage level calculation unit is at least one of a tower base, a tower middle, a tower tip, a blade base, a blade middle, and a blade tip. The damage diagnosis apparatus for wind power generation equipment according to claim 8 or 9, characterized in that it includes a part.
10. The damage diagnosis apparatus for wind power generation equipment according to claim 8 or 9, wherein operation of the wind power generation equipment is controlled according to the calculated degree of damage for each part.
10. The wind power generation equipment damage degree diagnosis apparatus according to claim 8 or 9, wherein maintenance repair of the wind power generation equipment is performed according to the calculated damage degree for each part.